H2O is an open source machine learning platform. With H2O Flow you’re able to train models through a web interface, R or python. With H2O Steam you’re able to deploy the trained models, allowing you to call a HTTP endpoint to predict user behavior. Are you planning to host Flow and Steam on your own server? Here are a few things we learned by doing.

At work we use AWS ECS (Amazon EC2 Container Service) for orchestrating our docker containers. We have a rather small
number of containers running (26~) which all log to CloudWatch. Being unsatisfied by the features such as alerting we started looking for a better logging solution.